Image retrieval using the combination of text-based and content-based algorithms

Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input image. At first, the images are retrieved based on the input keywords. Then, visual features are extracted to retrieve ideal output images. For extraction of color features we have used color moments and for texture we have used color co-occurrence matrix. The COREL image database have been used for our experimental results. The experimental results show that the performance of the combination of both text- and content- based features is much higher than each of them which is applied separately

Fine and hyperfine resolved empirical energy levels of VO

A MARVEL (measured active rotational-vibrational energy levels) analysis of the spectra of vanadium oxide (VO) is performed, involving thirteen electronic states (6 quartets and 7 doublets). VO data from 14 sources are used to form three networks: hyperfine-resolved quartets, hyperfine-unresolved quartets and hyperfine-unresolved doublets. A single quartet network is formed by deperturbing the hyperfine lines and 191 lines are assigned to an intercombination 2 –X band system in the visible region previously recorded by Hopkins et al. (J. Chem. Phys. 130 (2009) 144308), allowing the doublet and quartet networks to be merged. As a result 6 603/4 402 validated transitions/final energies were obtained from analysis of the hyperfine-resolved network and 9 087/4 712 from the unresolved. energy values and other molecular constants are determined for all doublet states within the networks

Structure‐guided Capacitance Relationships in Oxidized Graphene Porous Materials Based Supercapacitors

Supercapacitors formed from porous carbon and graphene-oxide (GO) materials are usually dominated by either electric double-layer capacitance, pseudo-capacitance, or both. Due to these combined features, reduced GO materials have been shown to offer superior capacitance over typical nanoporous carbon materials; however, there is a significant variation in reported values, ranging between 25 and 350 F g−1. This undermines the structure (e.g., oxygen functionality and/or surface area)-performance relationships for optimization of cost and scalable factors. This work demonstrates important structure-controlled charge storage relationships. For this, a series of exfoliated graphene (EG) derivatives are produced via thermal-shock exfoliation of GO precursors and following controlled graphitization of EG (GEG) generates materials with varied amounts of porosity, redox-active oxygen groups and graphitic components. Experimental results show significantly varied capacitance values between 30 and 250 F g−1 at 1.0 A g−1 in GEG structures; this suggests that for a given specific surface area the redox-active and hydrophilic oxygen content can boost the capacitance to 250–300% higher compared to typical mesoporous carbon materials. GEGs with identical oxygen functionality show a surface area governed capacitance. This allows to establish direct structure-performance relationships between 1) redox-active oxygen functional concentration and capacitance and 2) surface area and capacitance

Acceptance of 5 G technology: mediation role of trust and concentration

Even though 4 G technology is still under development, many investors are currently working to advance the following type of Internet networks identified as ‘5 G’. The importance of 5 G technology has been demonstrated over the past few years, extended to different activities related to technology acceptance. Therefore, the primary purpose of our study is to assess factors affecting the intention to use 5 G. A new integrated model was developed by incorporating trust and concentration constructs (from Flow Theory) into the Technology Acceptance Model (TAM). A total of 518 students were studied in Iran and the USA. Structural Equation Modeling (SEM) was applied to analyze the research model. The empirical findings support the hypotheses testing the significant influences of perceived ease of use (PEoU) and perceived usefulness (PU) on the intention to use 5G. Moreover, this study provides evidence that trust and concentration mediate the relationships among PEoU, PU, and the intention to use 5 G. Implications from this evidence suggest that 5 G technology should be designed in the way to deliver trustworthy and supportive services. As a result, it can obtain potential users’ trust and concentration as well as enhance public engagement and optimize the implementation of such technologies, thereby maximizing population benefits. Furthermore, the results of this study could aid as a resource for technology creators and offer support to develop marketing strategies based on users’ necessities

Effects of menthol essence and breast milk on the improvement of nipple fissures in breastfeeding women

Background: Nipple fissure is a common disorder during breastfeeding. With high prevalence of nipple fissures and its impacts on breastfeeding, as well as the existence of evidence in favor of the application of peppermint as an antiinflammatory and antiinfection herb, the purpose of this study is to determine the effect of Menthol essence on improving nipple fissures in the primiparous breastfeeding women. Materials and Methods: This study was conducted using a clinical trial method. Samples were divided randomly into two groups of 55 women. The women in the peppermint group applied four drops of Menthol essence on their nipple and areola after each feeding. The control group applied four drops of their own milk on the nipple and areola after each feeding. Then, the two groups were studied on days 10 and 14 postpartum. For intensity of pain, the visual analog scale (0-10 cm) and to measure the severity of damage, Amir scale (1-10 cm) were applied and the existence or lack of nipple discharge was also recorded. The data were analyzed using SPSS 17 software. Results: The mean intensity of pain and nipple fissure before treatment (8.55 ± 1.74) and day 10 after delivery (4.26 ± 1.57) and before treatment and day 14 after delivery in the case group (1.32 ± 1.02) had a significant difference (P < 0.001). Nipple discharge between the two groups, before treatment (%75.2) and day 10 after delivery (%31.6) and before treatment and day 14 after delivery (%15.7), the case group had a significant difference (P < 0.001). Conclusion: Menthol essence can improve nipple fissures in the primiparous breastfeeding women

The Effectiveness of Aerobic Training on Psychological Well-Being of Children with ADHD

Abstract Introduction: Children with attention-deficit/hyperactivity disorder face many psychological and social problems. This study aimed to investigate the effect of aerobic exercise on the components of psychological well-being of children with attention-deficit/hyperactivity disorder. Materials and Method: The research design was quasi-experimental. Thirty children were randomly selected from children with attention-deficit/hyperactivity disorder in Qom and were divided into experimental and control groups (15 experimental and 15 control). Aerobic exercise training was performed on the experimental group for eight weeks, three sessions per week for 45 minutes. Data analysis was performed using multivariate analysis of covariance using SPSS-22 software. Results: The results showed that the psychological well-being scores for the experimental group increased significantly compared to the control group. Aerobic exercise promotes the components of psychological well-being (self-acceptance, positive relationships with others, independence, mastery of the environment, purposeful life, and personal growth) of the children in the experimental group. Conclusion: Aerobic exercise seems to be a suitable treatment strategy without side effects to improve and enhance the psychological well-being of children with attention-deficit/hyperactivity disorder. This finding emphasizes the need for physical activity

Probing the Interaction of Human Serum Albumin with Norfloxacin in the Presence of High-Frequency Electromagnetic Fields: Fluorescence Spectroscopy and Circular Dichroism Investigations

The present study describes an investigation by fluorescence quenching, circular dichroism and UV-visible spectroscopy of the interaction between norfloxacin (NRF) and human serum albumin (HSA) in the presence of electromagnetic fields (EMFs). The results obtained from this study indicated that NRF had a strong ability to quench HSA at λex = 280 nm. In addition, a slight blue shift occurred, which suggested that the microenvironment of the protein became more hydrophobic after addition of NRF. The interaction between the NRF and HSA, whether in the absence or presence of an EMF, was considered to be a static quenching mechanism. Moreover, synchronous fluorescence demonstrated that the microenvironment around Trp became modified. Data of HSA-NRF in the presence of EMFs between 1 Hz–1 MHz confirmed the results of quenching and blue shifts. Corresponding Stern-Volmer plots were also drawn and the resultant Ksv and kq values were compared. Moreover, the binding parameters, including the number of binding sites, the binding constant and the distance, r, between donor and acceptor, were calculated based on Förster’s non-radiative energy transfer theory. According to far and near UV-CD, the formation of the complex caused changes of the secondary and tertiary structures of HSA. The obtained results are significant for patients who are subjected to high-frequency radiation as this was found to reduce the affinity of NRF to HSA

A functional and structural comparative analysis of Large Tumor Antigens reveals evolution of different importin α-dependent nuclear localization signals

: Nucleocytoplasmic transport regulates the passage of proteins between the nucleus and cytoplasm. In the best characterized pathway, importin (IMP) α bridges cargoes bearing basic, classical nuclear localization signals (cNLSs) to IMPβ1, which mediates transport through the nuclear pore complex. IMPα recognizes three types of cNLSs via two binding sites: the major binding site accommodates monopartite cNLSs, the minor binding site recognizes atypical cNLSs, whilst bipartite cNLSs simultaneously interact with both major and minor sites. Despite the growing knowledge regarding IMPα-cNLS interactions, our understanding of the evolution of cNLSs is limited. We combined bioinformatic, biochemical, functional, and structural approaches to study this phenomenon, using polyomaviruses (PyVs) Large Tumor Antigens (LTAs) as a model. We characterized functional cNLSs from all human (H)PyV LTAs, located between the LXCXE motif and origin binding domain. Surprisingly, the prototypical SV40 monopartite NLS is not well conserved; HPyV LTA NLSs are extremely heterogenous in terms of structural organization, IMPα isoform binding, and nuclear targeting abilities, thus influencing the nuclear accumulation properties of full-length proteins. While several LTAs possess bipartite cNLSs, Merkel Cell (MC) PyV contains a hybrid bipartite cNLS whose upstream stretch of basic amino acids can function as an atypical cNLS, specifically binding to the IMPα minor site upon deletion of the downstream amino acids after viral integration in the host genome. Therefore, duplication of a monopartite cNLS and subsequent accumulation of point mutations, optimizing interaction with distinct IMPα binding sites, led to the evolution of bipartite and atypical NLSs binding at the minor site. This article is protected by copyright. All rights reserved